Segmentation of retinal vasculature in colour fundus images

Yong Pang Kee, Iznita I. Lila, Fadzil M.H. Ahmad, A. N. Hanung, N. Hermawan, S. A. Vijanth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

Characteristic of retinal vasculature has been an important indicator for many diseases such as hypertension and diabetes. A digital image analysis system can assist medical experts to make accurate diagnosis in an efficient manner. This paper presents the computer based approach to the automated segmentation of blood vessels in retinal images. The detection of the retinal vessel is achieved by performing image enhancement using CLAHE followed by Bottomhat morphological transformation. Active contour model (snake) is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. A Graphic User Interface (GUI) has also been created to ease the user for the segmentation of the retinal vasculature.

Original languageEnglish
Title of host publication2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
Pages398-401
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 - Kuala Lumpur, Malaysia
Duration: 25 Jul 200926 Jul 2009

Publication series

Name2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009

Conference

Conference2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
Country/TerritoryMalaysia
CityKuala Lumpur
Period25/07/0926/07/09

Keywords

  • Active contour model
  • Fundus images
  • Retinal vasculature
  • Vessel segmentation

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